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What it's AI - Module 0 - Quiz

Total questions: 20

Worksheet time: 40mins

Name
Class
Date
1.

What does “IA” mean?

a)

Automated Interaction

b)

Artificial Intelligence

c)

Analytical Innovation

d)

Advanced Integration

2.

Which of the following best describes Artificial Intelligence (AI)?

a)

A system that mimics human intelligence to perform tasks

b)

A machine that only stores data

c)

A device that uses electricity

d)

A random number generator

3.

Which of the following is NOT an example of artificial intelligence in daily life?

a)

Virtual assistants, such as Alexa or Siri

b)

Recommendation systems on Netflix

c)

A regular digital watch

d)

Predictive text on smartphones

4.

What was the main purpose of the Dartmouth Conference?

a)

To build the first personal computer

b)

To explore the possibility of creating machines that can think

c)

To design computer networks

d)

To launch the Internet

5.

Why is the Dartmouth Conference so important in the history of artificial intelligence?

a)

It introduced smartphones

b)

It marked the beginning of artificial intelligence as a research field

c)

It created the first search engine

d)

It developed video games

6.

What idea was proposed at the Dartmouth Conference?

a)

Machines can simulate certain aspects of human thinking

b)

Robots can only do physical labor

c)

Data can be stored on floppy disks

d)

Computers can only be used for mathematical calculations

7.

What is the "AI winter"?

a)

A season when artificial intelligence is used for weather forecasting

b)

A period when artificial intelligence research loses funding and interest

c)

The first video game powered by artificial intelligence

d)

The name of a famous artificial intelligence robot

8.

What caused the AI winter?

a)

Too much progress was made in the field of artificial intelligence

b)

Lack of progress and unrealistic expectations

c)

The release of smartphones

d)

Global internet outage

9.

What lesson did researchers learn from the AI winter?

a)

Always make AI free

b)

Manage expectations and focus on achievable goals

c)

Avoid using AI in schools

d)

Only build small robots

10.

What is weak artificial intelligence?

a)

Artificial intelligence designed for specific tasks

b)

Artificial intelligence that can think like a human in all aspects

c)

Artificial intelligence that does not use electricity

d)

Artificial intelligence that never learns

11.

Which of the following is an example of weak artificial intelligence?

a)

A chatbot that can answer questions

b)

A robot that can fully understand emotions

c)

An android with human-level intelligence

d)

None of the above

12.

What is strong artificial intelligence?

a)

Artificial intelligence that acts like a human in a specific task

b)

Artificial intelligence with complete human-level intelligence and understanding

c)

Artificial intelligence that uses more powerful computers

d)

Artificial intelligence used only for scientific experiments

13.

Why is strong artificial intelligence still only a theory?

a)

It is illegal to build it

b)

The technology is not advanced enough to match human thinking

c)

No one wants to build it

d)

Computers cannot run artificial intelligence programs

14.

What is the first step in learning artificial intelligence?

a)

Guessing the answer

b)

Collecting and organizing data

c)

Building a robot

d)

Manually writing code

15.

Which method allows artificial intelligence to learn from labeled examples?

a)

Unsupervised learning

b)

Supervised learning

c)

Random guessing

d)

Reinforcement learning

16.

What is the name of the method in artificial intelligence that learns through trial and error?

a)

Supervised Learning

b)

Reinforcement Learning

c)

Weak Learning

d)

Static Programming

17.

Why is high-quality data important for artificial intelligence?

a)

Poor data quality can lead to inaccurate predictions by artificial intelligence

b)

Artificial intelligence can learn without any data

c)

Data quality does not matter

d)

Artificial intelligence generates its own data

18.

In artificial intelligence, what does it mean to classify data?

a)

Randomly group elements

b)

Organize data into structured groups

c)

Remove unnecessary information

d)

Ignore patterns

19.

Which of the following is an example of classification?

a)

Dividing animals into 'mammals' and 'birds'

b)

Putting all animals together in one folder

c)

Naming animals randomly

d)

Drawing pictures of animals

20.

Why is classifying data important for artificial intelligence?

a)

It helps AI recognize patterns and make better predictions

b)

It makes AI look more colorful

c)

It slows down AI processing speed

d)

It removes unnecessary data